Update app.py

app.py

@@ -1,17 +1,17 @@
 import pandas as pd
 import gradio as gr
 from transformers import pipeline
-from langchain.llms import HuggingFacePipeline
-from langchain.agents import create_pandas_dataframe_agent
+from langchain_community.llms import HuggingFacePipeline
+from langchain_experimental.agents import create_pandas_dataframe_agent
 
 # Load your data
 df = pd.read_csv("synthetic_profit.csv")
 
-# Set up lightweight Hugging Face pipeline with Flan-T5 base
+# Setup lightweight Hugging Face pipeline with Flan-T5 base
 hf_pipeline = pipeline(
     task="text2text-generation",
     model="google/flan-t5-base",
-    device=-1  # ensures CPU
+    device=-1  # CPU only
 )
 
 # LangChain agent setup
@@ -34,4 +34,4 @@ demo = gr.Interface(
     description="Ask questions about synthetic SAP profitability data. Powered by Flan-T5-base via Hugging Face."
 )
 
-demo.launch()
+demo.launch()